Engineering operations that never sleep

We believe that human talent should be spent solving complex creative problems, not copy-pasting numbers between disjointed enterprise databases.

Our Vision

To build the operational operating system for the next generation of enterprise growth. We construct reliable AI Employees that fit naturally alongside existing workflows, bringing structure, security, and predictability to scaling organizations.

Company Story

Founded by former engineering leads from Stripe, Retool, and Claude, MadAutomate was born out of frustration with brittle low-code patches and fragile integrations. We set out to bring professional software engineering principles to the AI automation workspace.

Our Values

The engineering principles that guide our product decisions every day.

Engineering First

We write code rather than rely on visual builders. This guarantees low latency, infinite flexibility, and zero platform dependency.

Secured Sandboxes

We sandbox all database interactions and model inputs. Client data stays encrypted, isolated, and audits are tracked in real-time.

Clear Confidence

We never use buzzwords or overpromise. Our systems are built on tested constraints, returning honest, reliable results.

Human Oversight

Our automations keep humans in the loop for sensitive writes, invoice releases, or critical customer escalations.

Our Leadership

Meet the engineers and operations designers building the future of automated operations.

EV

Dr. Elena Vance

Chief Systems Architect

Former AI Systems Research Lead at Claude AI. Elena leads model design and container pipeline security.

CC

Christian Cole

Head of Operations Design

Former Product Lead at Stripe. Christian manages workflow blueprints and legacy system integration schemas.

SC

Sean Chen

Lead Security Engineer

Former DevSecOps lead at Retool. Sean maintains SOC2 alignments and client VPC sandbox environments.

The Engineering Process

We deliver high-end AI automation using a clear, 5-phase engineering process.

1
Audit & Blueprint: Map your manual processes and draft a secure technical workflow schema.
2
Sandbox Prototyping: Write code in isolated environments and establish mock database syncs.
3
Dry-Run Verification: Run historic lead streams or transaction archives to verify accuracy.
4
Production Deployment: Go live with secure OAuth tokens, sync live databases, and launch monitoring.
5
SLA Management: Proactive error monitoring, scheduled model updates, and API maintenance.

Our Technology Stack

We use secure, modern backend languages and infrastructure to guarantee maximum reliability and SOC2 compliance.

Python TypeScript / Node.js AWS Lambda / Serverless Docker Containers LangChain / LangGraph PostgreSQL / Pinecone Auth0 Security Sentry Log Audits

Join our engineering team

We're looking for systems engineers, Operations Designers, and security leads to help design the future of operations.

Engineering

Senior Systems Engineer (AI Infrastructure)

San Francisco, CA — Full Time

Apply Now
Product Design

Technical Product Designer (Workflow Design)

Remote / SF — Full Time

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Operations

Automation Implementation Specialist

Remote — Full Time

Apply Now